This 'off-RSA' event offers a unique venue for security researchers to get a close-up view of network security research tools in an informal setting. Attendees will have the opportunity to have intimate dialogues with others within the Internet security community about Big Data mining, cyber security threats, and the trends and technologies shaping the new world of Internet security.

"The recent string of cyber security attacks into the New York Times, Wall Street Journal and Twitter underscores the need for Internet security technology and research to transform from reactive to predictive," said Dan Hubbard, CTO of OpenDNS. "This paradigm shift is possible with technology innovation and collaboration within the security research community. We are looking forward to a night of idea-sharing with some of the best security technologists and researches on the planet."

At the event, OpenDNS will demonstrate its new Umbrella Security Graph, which has leveraged Big Data to discover different attributes, locations, and domains connected with the recently uncovered 'Red October' attacks. With the Umbrella Security Graph, OpenDNS can now deliver predictive Internet security protection to its customers by combining the company's indexed and cross-referenced data with real-time cyber intelligence scoring and threat classification.

The event will also showcase security technologies and research tools from the following companies.

CounterTack provides in-progress cyber attack intelligence and response solutions that enable enterprise and government organizations to combat advanced targeted attacks with Deep System Inspection solutions. The company will demo CT Scout, a cyber intelligence product that helps enterprise and government organizations close the Detection Gap.

CrowdStrike is a security technology company focused on identifying and preventing damage from targeted attacks. The company will demo CrowdRE, a free community tool that allows security researchers and analysts to collaborate on reverse engineering by leveraging crowdsharing to reduce repetitive work by multiple analysts.